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Data Science : Recent Questions and Answers (Page 229)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

How do I calculate the delta term of a Convolutional Layer, given the delta terms and weights of the previous Convolutional Layer?

I am trying to train an artificial neural network with two convolutional layers (c1, c2) and two hidden layers (c1, c2). I am using the standard backpropagation approach. In the...

Asked on 02/02/2021 by cdwoelk

1 answer

Is there any package in python that can identify similarity between alphanumeric alias names of a parameter?

For example: for a parameter like input voltage, Alias names : V_INPUT, VIN etc.Now, I want the software to recognize each of the alias names...

Asked on 02/02/2021 by rb173

2 answer

Pandas Data Frame: Calculating custom moving average

I have a time series containing stock price data. I would like to calculate the Money Flow Index (MFI) for each row. Given that the MFI, uses the previous approx....

Asked on 02/02/2021

1 answer

What does this formula in Glorot & Bengio mean?

In this paper, on page 5, we find the formula $$Var(z^i)=Var(x)prod_{i'=0}^{i-1}n_{i'}Var(W^{i'})$$ I am really struggling to understand what is meant by this formula. I think at...

Asked on 02/02/2021

1 answer

Clustering data with a constraint

I am trying to find a way to cluster/group students by their knowledge of different subjects. Given following as an example: ...

Asked on 02/02/2021 by Aibek

0 answer

How does TF-IDF classify a document based on "Score" alloted to each word

I understand how TF-IDF "score" is calculated for each word in a document, but I do not get how can it be used to classify a test document. For example,...

Asked on 02/01/2021 by hakiki_makato

1 answer

How to do backward features elimination when considering interactions between them

I have a multi linear regression problem, $Y$ is my target and $X_1, X_2, X_3$ are my features. In my regression, I consider the interaction between $X_1,...

Asked on 02/01/2021 by Oussama Jabri

1 answer

Suspiciously good accuracy using neural network

I have a dataset from EEG data that is 24 features (24 electrodes) and 88000 samples with 3 classes, it is normalised and everything and had some noise filtered out...

Asked on 02/01/2021 by Po Chen Liu

1 answer

Loss function in order to find the most certain samples

I have a classification problem where I try to predict if some measurement will go up or down in the next 10 seconds. I have a few hundred of features...

Asked on 02/01/2021 by user4550050

0 answer

split flattened tensor to perform class wise loss

I would like to adapt my dice loss function for multi-class averaging. y_true and y_pred are one-hot 3D images (mask of label). For example, if the flattened tensors contain the...

Asked on 02/01/2021

0 answer

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